Vision-based robotic gras** from object localization, object pose estimation to grasp estimation for parallel grippers: a review
This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …
conclude three key tasks during vision-based robotic gras**, which are object localization …
Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
information in environmental awareness and understanding. With the rapid progress of …
Ego4d: Around the world in 3,000 hours of egocentric video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation
Abstract 6D pose estimation from a single RGB image is a fundamental task in computer
vision. The current top-performing deep learning-based methods rely on an indirect strategy …
vision. The current top-performing deep learning-based methods rely on an indirect strategy …
Vector neurons: A general framework for so (3)-equivariant networks
Invariance and equivariance to the rotation group have been widely discussed in the 3D
deep learning community for pointclouds. Yet most proposed methods either use complex …
deep learning community for pointclouds. Yet most proposed methods either use complex …
Ffb6d: A full flow bidirectional fusion network for 6d pose estimation
In this work, we present FFB6D, a full flow bidirectional fusion network designed for 6D pose
estimation from a single RGBD image. Our key insight is that appearance information in the …
estimation from a single RGBD image. Our key insight is that appearance information in the …
Onepose: One-shot object pose estimation without cad models
We propose a new method named OnePose for object pose estimation. Unlike existing
instance-level or category-level methods, OnePose does not rely on CAD models and can …
instance-level or category-level methods, OnePose does not rely on CAD models and can …
Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation
Establishing correspondences from image to 3D has been a key task of 6DoF object pose
estimation for a long time. To predict pose more accurately, deeply learned dense maps …
estimation for a long time. To predict pose more accurately, deeply learned dense maps …
Few-shot object detection and viewpoint estimation for objects in the wild
Detecting objects and estimating their viewpoints in images are key tasks of 3D scene
understanding. Recent approaches have achieved excellent results on very large …
understanding. Recent approaches have achieved excellent results on very large …
Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation
In this work, we present a novel data-driven method for robust 6DoF object pose estimation
from a single RGBD image. Unlike previous methods that directly regressing pose …
from a single RGBD image. Unlike previous methods that directly regressing pose …